Virtual Wearable Sensor Data Generation with Generative Adversarial Networks-Reference-Cited by-同舟云学术

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Virtual Wearable Sensor Data Generation with Generative Adversarial Networks

Published:2023-12-10 Issue: Volume:2 Page:3729-3740
ISSN:
Container-title:2023 Winter Simulation Conference (WSC)
language:
Short-container-title:

Author:

Huang Yining¹,Wan Hong²,Chen Xi³

Affiliation:

1. North Carolina State University,Operations Research Graduate Program,Raleigh,NC,USA,27606

2. North Carolina State University,Department of Industrial and Systems Engineering,Raleigh,NC,USA,27606

3. Virginia Tech,Grado Department of Industrial and Systems Engineering,Blacksburg,VA,USA,24061

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406299/10407113/10407328.pdf?arnumber=10407328

Reference40 articles.

1. Artificial intelligence (AI) healthcare technology innovations: the current state and challenges from a life science industry perspective

2. A Methodology for Validating Diversity in Synthetic Time Series Generation

3. Input Data Modeling: An Approach Using Generative Adversarial Networks

4. An innovative medical image synthesis based on dual GAN deep neural networks for improved segmentation quality

5. Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models

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